Pandas Profiling Report

Dataset statistics

Number of variables	17
Number of observations	2111
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	9
Duplicate rows (%)	0.4%
Total size in memory	280.5 KiB
Average record size in memory	136.1 B

Variable types

Categorical	5
Numeric	8
Boolean	4

Alerts

Dataset has 9 (0.4%) duplicate rows	Duplicates
`Gender` is highly overall correlated with `Height` and 1 other fields	High correlation
`Height` is highly overall correlated with `Gender`	High correlation
`NObeyesdad` is highly overall correlated with `Gender` and 2 other fields	High correlation
`Weight` is highly overall correlated with `NObeyesdad` and 1 other fields	High correlation
`family_history_with_overweight` is highly overall correlated with `NObeyesdad` and 1 other fields	High correlation
`CAEC` is highly imbalanced (58.1%)	Imbalance
`SMOKE` is highly imbalanced (85.4%)	Imbalance
`SCC` is highly imbalanced (73.3%)	Imbalance
`MTRANS` is highly imbalanced (57.1%)	Imbalance
`FAF` has 421 (19.9%) zeros	Zeros
`TUE` has 560 (26.5%) zeros	Zeros

Reproduction

Analysis started	2026-02-28 14:18:12.132379
Analysis finished	2026-02-28 14:18:34.611744
Duration	22.48 seconds
Software version	ydata-profiling vv4.18.1
Download configuration	config.json

Gender
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.6 KiB

Male	1068
Female	1043

Length

Max length	6
Median length	4
Mean length	4.9881573
Min length	4

Characters and Unicode

Total characters	10530
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Female
3rd row	Male
4th row	Male
5th row	Male

Common Values

Value	Count	Frequency (%)
Male	1068	50.6%
Female	1043	49.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
male	1068	50.6%
female	1043	49.4%

Most occurring characters

Value	Count	Frequency (%)
e	3154	30.0%
a	2111	20.0%
l	2111	20.0%
M	1068	10.1%
F	1043	9.9%
m	1043	9.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10530	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	3154	30.0%
a	2111	20.0%
l	2111	20.0%
M	1068	10.1%
F	1043	9.9%
m	1043	9.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10530	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	3154	30.0%
a	2111	20.0%
l	2111	20.0%
M	1068	10.1%
F	1043	9.9%
m	1043	9.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10530	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	3154	30.0%
a	2111	20.0%
l	2111	20.0%
M	1068	10.1%
F	1043	9.9%
m	1043	9.9%

Age
Real number (ℝ)

Distinct	40
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.315964

Minimum	14
Maximum	61
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	14
5-th percentile	18
Q1	20
median	23
Q3	26
95-th percentile	38
Maximum	61
Range	47
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	6.3570781
Coefficient of variation (CV)	0.2614364
Kurtosis	2.7985818
Mean	24.315964
Median Absolute Deviation (MAD)	3
Skewness	1.5213261
Sum	51331
Variance	40.412442
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
21	236	11.2%
23	218	10.3%
26	213	10.1%
18	212	10.0%
19	169	8.0%
22	163	7.7%
20	150	7.1%
24	95	4.5%
25	82	3.9%
17	69	3.3%
Other values (30)	504	23.9%

Value	Count	Frequency (%)
14	1	< 0.1%
15	1	< 0.1%
16	20	0.9%
17	69	3.3%
18	212	10.0%
19	169	8.0%
20	150	7.1%
21	236	11.2%
22	163	7.7%
23	218	10.3%

Value	Count	Frequency (%)
61	1	< 0.1%
56	1	< 0.1%
55	5	0.2%
52	1	< 0.1%
51	2	0.1%
48	1	< 0.1%
47	1	< 0.1%
46	2	0.1%
45	3	0.1%
44	6	0.3%

Height
Real number (ℝ)

High correlation

Distinct	51
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.7016201

Minimum	1.45
Maximum	1.98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	1.45
5-th percentile	1.55
Q1	1.63
median	1.7
Q3	1.77
95-th percentile	1.85
Maximum	1.98
Range	0.53
Interquartile range (IQR)	0.14

Descriptive statistics

Standard deviation	0.093368402
Coefficient of variation (CV)	0.054870298
Kurtosis	-0.56508573
Mean	1.7016201
Median Absolute Deviation (MAD)	0.07
Skewness	-0.0091150723
Sum	3592.12
Variance	0.0087176584
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.7	125	5.9%
1.75	122	5.8%
1.62	96	4.5%
1.76	96	4.5%
1.65	88	4.2%
1.6	77	3.6%
1.72	76	3.6%
1.63	75	3.6%
1.77	71	3.4%
1.71	68	3.2%
Other values (41)	1217	57.7%

Value	Count	Frequency (%)
1.45	1	< 0.1%
1.46	1	< 0.1%
1.48	3	0.1%
1.49	3	0.1%
1.5	17	0.8%
1.51	11	0.5%
1.52	19	0.9%
1.53	27	1.3%
1.54	20	0.9%
1.55	32	1.5%

Value	Count	Frequency (%)
1.98	2	0.1%
1.95	1	< 0.1%
1.94	1	< 0.1%
1.93	4	0.2%
1.92	4	0.2%
1.91	12	0.6%
1.9	7	0.3%
1.89	7	0.3%
1.88	10	0.5%
1.87	22	1.0%

Weight
Real number (ℝ)

High correlation

Distinct	1335
Distinct (%)	63.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	86.586035

Minimum	39
Maximum	173
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	39
5-th percentile	48.5
Q1	65.47
median	83
Q3	107.43
95-th percentile	131.915
Maximum	173
Range	134
Interquartile range (IQR)	41.96

Descriptive statistics

Standard deviation	26.191163
Coefficient of variation (CV)	0.30248715
Kurtosis	-0.69988323
Mean	86.586035
Median Absolute Deviation (MAD)	21.74
Skewness	0.25542213
Sum	182783.12
Variance	685.977
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	59	2.8%
70	43	2.0%
50	42	2.0%
75	40	1.9%
60	37	1.8%
65	26	1.2%
90	23	1.1%
42	22	1.0%
78	19	0.9%
85	19	0.9%
Other values (1325)	1781	84.4%

Value	Count	Frequency (%)
39	1	< 0.1%
39.1	1	< 0.1%
39.37	1	< 0.1%
39.7	1	< 0.1%
39.85	1	< 0.1%
40	1	< 0.1%
40.2	1	< 0.1%
40.34	1	< 0.1%
41.22	1	< 0.1%
41.27	1	< 0.1%

Value	Count	Frequency (%)
173	1	< 0.1%
165.06	1	< 0.1%
160.94	1	< 0.1%
160.64	1	< 0.1%
155.87	1	< 0.1%
155.24	1	< 0.1%
154.62	1	< 0.1%
153.96	1	< 0.1%
153.15	1	< 0.1%
152.72	1	< 0.1%

family_history_with_overweight
Boolean

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

True	1726
False	385

Value	Count	Frequency (%)
True	1726	81.8%
False	385	18.2%

FAVC
Boolean

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

True	1866
False	245

Value	Count	Frequency (%)
True	1866	88.4%
False	245	11.6%

FCVC
Real number (ℝ)

Distinct	180
Distinct (%)	8.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.4189863

Minimum	1
Maximum	3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1.52
Q1	2
median	2.39
Q3	3
95-th percentile	3
Maximum	3
Range	2
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.53399595
Coefficient of variation (CV)	0.22075196
Kurtosis	-0.63708303
Mean	2.4189863
Median Absolute Deviation (MAD)	0.39
Skewness	-0.43305151
Sum	5106.48
Variance	0.28515167
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	658	31.2%
2	610	28.9%
1	34	1.6%
2.97	14	0.7%
2.05	12	0.6%
2.94	12	0.6%
2.91	12	0.6%
2.92	11	0.5%
2.96	11	0.5%
2.77	11	0.5%
Other values (170)	726	34.4%

Value	Count	Frequency (%)
1	34	1.6%
1.01	2	0.1%
1.03	1	< 0.1%
1.04	2	0.1%
1.05	2	0.1%
1.06	2	0.1%
1.07	1	< 0.1%
1.08	3	0.1%
1.1	1	< 0.1%
1.11	1	< 0.1%

Value	Count	Frequency (%)
3	658	31.2%
2.99	4	0.2%
2.98	9	0.4%
2.97	14	0.7%
2.96	11	0.5%
2.95	9	0.4%
2.94	12	0.6%
2.93	7	0.3%
2.92	11	0.5%
2.91	12	0.6%

NCP
Real number (ℝ)

Distinct	256
Distinct (%)	12.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.6856514

Minimum	1
Maximum	4
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2.66
median	3
Q3	3
95-th percentile	3.75
Maximum	4
Range	3
Interquartile range (IQR)	0.34

Descriptive statistics

Standard deviation	0.77807883
Coefficient of variation (CV)	0.28971699
Kurtosis	0.38542151
Mean	2.6856514
Median Absolute Deviation (MAD)	0
Skewness	-1.1069503
Sum	5669.41
Variance	0.60540667
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	1208	57.2%
1	205	9.7%
4	74	3.5%
2.99	17	0.8%
2.98	13	0.6%
2.97	9	0.4%
3.99	9	0.4%
2.88	8	0.4%
2.81	8	0.4%
2.66	7	0.3%
Other values (246)	553	26.2%

Value	Count	Frequency (%)
1	205	9.7%
1.01	4	0.2%
1.02	2	0.1%
1.03	2	0.1%
1.04	1	< 0.1%
1.05	3	0.1%
1.06	2	0.1%
1.07	3	0.1%
1.08	5	0.2%
1.09	2	0.1%

Value	Count	Frequency (%)
4	74	3.5%
3.99	9	0.4%
3.98	1	< 0.1%
3.97	1	< 0.1%
3.95	1	< 0.1%
3.94	1	< 0.1%
3.91	2	0.1%
3.9	2	0.1%
3.89	2	0.1%
3.88	1	< 0.1%

CAEC
Categorical

Imbalance

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	16.6 KiB

Sometimes	1765
Frequently	242
Always	53
no	51

Length

Max length	10
Median length	9
Mean length	8.8702037
Min length	2

Characters and Unicode

Total characters	18725
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sometimes
2nd row	Sometimes
3rd row	Sometimes
4th row	Sometimes
5th row	Sometimes

Common Values

Value	Count	Frequency (%)
Sometimes	1765	83.6%
Frequently	242	11.5%
Always	53	2.5%
no	51	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sometimes	1765	83.6%
frequently	242	11.5%
always	53	2.5%
no	51	2.4%

Most occurring characters

Value	Count	Frequency (%)
e	4014	21.4%
m	3530	18.9%
t	2007	10.7%
s	1818	9.7%
o	1816	9.7%
S	1765	9.4%
i	1765	9.4%
y	295	1.6%
l	295	1.6%
n	293	1.6%
Other values (7)	1127	6.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18725	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	4014	21.4%
m	3530	18.9%
t	2007	10.7%
s	1818	9.7%
o	1816	9.7%
S	1765	9.4%
i	1765	9.4%
y	295	1.6%
l	295	1.6%
n	293	1.6%
Other values (7)	1127	6.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18725	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	4014	21.4%
m	3530	18.9%
t	2007	10.7%
s	1818	9.7%
o	1816	9.7%
S	1765	9.4%
i	1765	9.4%
y	295	1.6%
l	295	1.6%
n	293	1.6%
Other values (7)	1127	6.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18725	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	4014	21.4%
m	3530	18.9%
t	2007	10.7%
s	1818	9.7%
o	1816	9.7%
S	1765	9.4%
i	1765	9.4%
y	295	1.6%
l	295	1.6%
n	293	1.6%
Other values (7)	1127	6.0%

SMOKE
Boolean

Imbalance

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

False	2067
True	44

Value	Count	Frequency (%)
False	2067	97.9%
True	44	2.1%

CH2O
Real number (ℝ)

Distinct	201
Distinct (%)	9.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.0080531

Minimum	1
Maximum	3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1.585
median	2
Q3	2.48
95-th percentile	3
Maximum	3
Range	2
Interquartile range (IQR)	0.895

Descriptive statistics

Standard deviation	0.61294955
Coefficient of variation (CV)	0.3052457
Kurtosis	-0.87925382
Mean	2.0080531
Median Absolute Deviation (MAD)	0.45
Skewness	-0.10502701
Sum	4239
Variance	0.37570716
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	467	22.1%
1	221	10.5%
3	163	7.7%
2.17	16	0.8%
2.04	15	0.7%
2.65	15	0.7%
2.15	14	0.7%
2.01	14	0.7%
2.36	14	0.7%
2.08	13	0.6%
Other values (191)	1159	54.9%

Value	Count	Frequency (%)
1	221	10.5%
1.01	10	0.5%
1.02	11	0.5%
1.03	13	0.6%
1.04	4	0.2%
1.05	6	0.3%
1.06	4	0.2%
1.07	4	0.2%
1.08	7	0.3%
1.09	2	0.1%

Value	Count	Frequency (%)
3	163	7.7%
2.99	7	0.3%
2.98	10	0.5%
2.97	5	0.2%
2.96	6	0.3%
2.95	6	0.3%
2.94	3	0.1%
2.93	5	0.2%
2.92	3	0.1%
2.91	3	0.1%

SCC
Boolean

Imbalance

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

False	2015
True	96

Value	Count	Frequency (%)
False	2015	95.5%
True	96	4.5%

FAF
Real number (ℝ)

Zeros

Distinct	257
Distinct (%)	12.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.0103126

Minimum	0
Maximum	3
Zeros	421
Zeros (%)	19.9%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.125
median	1
Q3	1.67
95-th percentile	2.68
Maximum	3
Range	3
Interquartile range (IQR)	1.545

Descriptive statistics

Standard deviation	0.85061316
Coefficient of variation (CV)	0.84193062
Kurtosis	-0.62067528
Mean	1.0103126
Median Absolute Deviation (MAD)	0.8
Skewness	0.49854641
Sum	2132.77
Variance	0.72354275
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	421	19.9%
1	243	11.5%
2	199	9.4%
3	77	3.6%
0.99	15	0.7%
0.03	14	0.7%
0.01	13	0.6%
0.11	13	0.6%
1.98	13	0.6%
0.98	12	0.6%
Other values (247)	1091	51.7%

Value	Count	Frequency (%)
0	421	19.9%
0.01	13	0.6%
0.02	10	0.5%
0.03	14	0.7%
0.04	7	0.3%
0.05	8	0.4%
0.06	5	0.2%
0.07	11	0.5%
0.08	2	0.1%
0.09	8	0.4%

Value	Count	Frequency (%)
3	77	3.6%
2.97	1	< 0.1%
2.94	2	0.1%
2.93	1	< 0.1%
2.89	4	0.2%
2.88	3	0.1%
2.87	1	< 0.1%
2.85	1	< 0.1%
2.83	2	0.1%
2.82	1	< 0.1%

TUE
Real number (ℝ)

Zeros

Distinct	813
Distinct (%)	38.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.6578612

Minimum	0
Maximum	2
Zeros	560
Zeros (%)	26.5%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.625
Q3	1
95-th percentile	2
Maximum	2
Range	2
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.60892621
Coefficient of variation (CV)	0.92561502
Kurtosis	-0.54863476
Mean	0.6578612
Median Absolute Deviation (MAD)	0.485
Skewness	0.61852392
Sum	1388.745
Variance	0.37079113
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	560	26.5%
1	292	13.8%
2	109	5.2%
0.631	6	0.3%
0.002	6	0.3%
0.097	4	0.2%
0.673	4	0.2%
0.128	4	0.2%
0.413	4	0.2%
0.003	4	0.2%
Other values (803)	1118	53.0%

Value	Count	Frequency (%)
0	560	26.5%
0.001	3	0.1%
0.002	6	0.3%
0.003	4	0.2%
0.004	1	< 0.1%
0.005	1	< 0.1%
0.008	2	0.1%
0.009	3	0.1%
0.01	1	< 0.1%
0.011	1	< 0.1%

Value	Count	Frequency (%)
2	109	5.2%
1.992	1	< 0.1%
1.991	1	< 0.1%
1.984	1	< 0.1%
1.981	1	< 0.1%
1.978	1	< 0.1%
1.973	1	< 0.1%
1.971	1	< 0.1%
1.97	1	< 0.1%
1.967	1	< 0.1%

CALC
Categorical

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	16.6 KiB

Sometimes	1401
no	639
Frequently	70
Always	1

Length

Max length	10
Median length	9
Mean length	6.9128375
Min length	2

Characters and Unicode

Total characters	14593
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	no
2nd row	Sometimes
3rd row	Frequently
4th row	Frequently
5th row	Sometimes

Common Values

Value	Count	Frequency (%)
Sometimes	1401	66.4%
no	639	30.3%
Frequently	70	3.3%
Always	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sometimes	1401	66.4%
no	639	30.3%
frequently	70	3.3%
always	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	2942	20.2%
m	2802	19.2%
o	2040	14.0%
t	1471	10.1%
s	1402	9.6%
S	1401	9.6%
i	1401	9.6%
n	709	4.9%
y	71	0.5%
l	71	0.5%
Other values (7)	283	1.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	14593	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	2942	20.2%
m	2802	19.2%
o	2040	14.0%
t	1471	10.1%
s	1402	9.6%
S	1401	9.6%
i	1401	9.6%
n	709	4.9%
y	71	0.5%
l	71	0.5%
Other values (7)	283	1.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	14593	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	2942	20.2%
m	2802	19.2%
o	2040	14.0%
t	1471	10.1%
s	1402	9.6%
S	1401	9.6%
i	1401	9.6%
n	709	4.9%
y	71	0.5%
l	71	0.5%
Other values (7)	283	1.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	14593	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	2942	20.2%
m	2802	19.2%
o	2040	14.0%
t	1471	10.1%
s	1402	9.6%
S	1401	9.6%
i	1401	9.6%
n	709	4.9%
y	71	0.5%
l	71	0.5%
Other values (7)	283	1.9%

MTRANS
Categorical

Imbalance

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	16.6 KiB

Public_Transportation	1580
Automobile	457
Walking	56
Motorbike	11
Bike	7

Length

Max length	21
Median length	21
Mean length	18.128375
Min length	4

Characters and Unicode

Total characters	38269
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Public_Transportation
2nd row	Public_Transportation
3rd row	Public_Transportation
4th row	Walking
5th row	Public_Transportation

Common Values

Value	Count	Frequency (%)
Public_Transportation	1580	74.8%
Automobile	457	21.6%
Walking	56	2.7%
Motorbike	11	0.5%
Bike	7	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
public_transportation	1580	74.8%
automobile	457	21.6%
walking	56	2.7%
motorbike	11	0.5%
bike	7	0.3%

Most occurring characters

Value	Count	Frequency (%)
o	4096	10.7%
i	3691	9.6%
t	3628	9.5%
a	3216	8.4%
n	3216	8.4%
r	3171	8.3%
l	2093	5.5%
b	2048	5.4%
u	2037	5.3%
P	1580	4.1%
Other values (13)	9493	24.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	38269	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	4096	10.7%
i	3691	9.6%
t	3628	9.5%
a	3216	8.4%
n	3216	8.4%
r	3171	8.3%
l	2093	5.5%
b	2048	5.4%
u	2037	5.3%
P	1580	4.1%
Other values (13)	9493	24.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	38269	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	4096	10.7%
i	3691	9.6%
t	3628	9.5%
a	3216	8.4%
n	3216	8.4%
r	3171	8.3%
l	2093	5.5%
b	2048	5.4%
u	2037	5.3%
P	1580	4.1%
Other values (13)	9493	24.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	38269	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	4096	10.7%
i	3691	9.6%
t	3628	9.5%
a	3216	8.4%
n	3216	8.4%
r	3171	8.3%
l	2093	5.5%
b	2048	5.4%
u	2037	5.3%
P	1580	4.1%
Other values (13)	9493	24.8%

NObeyesdad
Categorical

High correlation

Distinct	7
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	16.6 KiB

Obesity_Type_I	351
Obesity_Type_III	324
Obesity_Type_II	297
Overweight_Level_I	290
Overweight_Level_II	290
Other values (2)	559

Length

Max length	19
Median length	16
Mean length	16.192326
Min length	13

Characters and Unicode

Total characters	34182
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Normal_Weight
2nd row	Normal_Weight
3rd row	Normal_Weight
4th row	Overweight_Level_I
5th row	Overweight_Level_II

Common Values

Value	Count	Frequency (%)
Obesity_Type_I	351	16.6%
Obesity_Type_III	324	15.3%
Obesity_Type_II	297	14.1%
Overweight_Level_I	290	13.7%
Overweight_Level_II	290	13.7%
Normal_Weight	287	13.6%
Insufficient_Weight	272	12.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
obesity_type_i	351	16.6%
obesity_type_iii	324	15.3%
obesity_type_ii	297	14.1%
overweight_level_i	290	13.7%
overweight_level_ii	290	13.7%
normal_weight	287	13.6%
insufficient_weight	272	12.9%

Most occurring characters

Value	Count	Frequency (%)
e	5095	14.9%
_	3663	10.7%
I	3059	8.9%
i	2655	7.8%
t	2383	7.0%
y	1944	5.7%
O	1552	4.5%
s	1244	3.6%
v	1160	3.4%
g	1139	3.3%
Other values (17)	10288	30.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	34182	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	5095	14.9%
_	3663	10.7%
I	3059	8.9%
i	2655	7.8%
t	2383	7.0%
y	1944	5.7%
O	1552	4.5%
s	1244	3.6%
v	1160	3.4%
g	1139	3.3%
Other values (17)	10288	30.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	34182	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	5095	14.9%
_	3663	10.7%
I	3059	8.9%
i	2655	7.8%
t	2383	7.0%
y	1944	5.7%
O	1552	4.5%
s	1244	3.6%
v	1160	3.4%
g	1139	3.3%
Other values (17)	10288	30.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	34182	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	5095	14.9%
_	3663	10.7%
I	3059	8.9%
i	2655	7.8%
t	2383	7.0%
y	1944	5.7%
O	1552	4.5%
s	1244	3.6%
v	1160	3.4%
g	1139	3.3%
Other values (17)	10288	30.1%

	Age	CAEC	CALC	CH2O	FAF	FAVC	FCVC	Gender	Height	MTRANS	NCP	NObeyesdad	SCC	SMOKE	TUE	Weight	family_history_with_overweight
Age	1.000	0.154	0.164	0.008	-0.210	0.137	0.058	0.189	-0.003	0.348	-0.105	0.292	0.132	0.185	-0.298	0.357	0.235
CAEC	0.154	1.000	0.098	0.181	0.115	0.193	0.129	0.131	0.157	0.095	0.167	0.352	0.160	0.046	0.132	0.318	0.349
CALC	0.164	0.098	1.000	0.107	0.112	0.137	0.102	0.033	0.099	0.095	0.121	0.225	0.055	0.104	0.138	0.219	0.012
CH2O	0.008	0.181	0.107	1.000	0.157	0.191	0.066	0.233	0.223	0.088	0.068	0.229	0.130	0.074	0.023	0.223	0.228
FAF	-0.210	0.115	0.112	0.157	1.000	0.152	0.028	0.265	0.326	0.114	0.144	0.212	0.095	0.067	0.050	-0.044	0.158
FAVC	0.137	0.193	0.137	0.191	0.152	1.000	0.091	0.060	0.221	0.201	0.032	0.328	0.186	0.040	0.170	0.293	0.205
FCVC	0.058	0.129	0.102	0.066	0.028	0.091	1.000	0.349	-0.054	0.103	0.082	0.293	0.095	0.000	-0.086	0.210	0.118
Gender	0.189	0.131	0.033	0.233	0.265	0.060	0.349	1.000	0.622	0.162	0.162	0.556	0.098	0.035	0.130	0.396	0.099
Height	-0.003	0.157	0.099	0.223	0.326	0.221	-0.054	0.622	1.000	0.090	0.207	0.206	0.173	0.162	0.079	0.462	0.301
MTRANS	0.348	0.095	0.095	0.088	0.114	0.201	0.103	0.162	0.090	1.000	0.042	0.179	0.070	0.000	0.126	0.140	0.118
NCP	-0.105	0.167	0.121	0.068	0.144	0.032	0.082	0.162	0.207	0.042	1.000	0.244	0.045	0.027	0.085	0.005	0.189
NObeyesdad	0.292	0.352	0.225	0.229	0.212	0.328	0.293	0.556	0.206	0.179	0.244	1.000	0.235	0.111	0.216	0.575	0.540
SCC	0.132	0.160	0.055	0.130	0.095	0.186	0.095	0.098	0.173	0.070	0.045	0.235	1.000	0.033	0.128	0.235	0.181
SMOKE	0.185	0.046	0.104	0.074	0.067	0.040	0.000	0.035	0.162	0.000	0.027	0.111	0.033	1.000	0.058	0.129	0.000
TUE	-0.298	0.132	0.138	0.023	0.050	0.170	-0.086	0.130	0.079	0.126	0.085	0.216	0.128	0.058	1.000	-0.050	0.187
Weight	0.357	0.318	0.219	0.223	-0.044	0.293	0.210	0.396	0.462	0.140	0.005	0.575	0.235	0.129	-0.050	1.000	0.557
family_history_with_overweight	0.235	0.349	0.012	0.228	0.158	0.205	0.118	0.099	0.301	0.118	0.189	0.540	0.181	0.000	0.187	0.557	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	Gender	Age	Height	Weight	family_history_with_overweight	FAVC	FCVC	NCP	CAEC	SMOKE	CH2O	SCC	FAF	TUE	CALC	MTRANS	NObeyesdad
0	Female	21	1.62	64.0	yes	no	2.0	3.0	Sometimes	no	2.0	no	0.0	1.0	no	Public_Transportation	Normal_Weight
1	Female	21	1.52	56.0	yes	no	3.0	3.0	Sometimes	yes	3.0	yes	3.0	0.0	Sometimes	Public_Transportation	Normal_Weight
2	Male	23	1.80	77.0	yes	no	2.0	3.0	Sometimes	no	2.0	no	2.0	1.0	Frequently	Public_Transportation	Normal_Weight
3	Male	27	1.80	87.0	no	no	3.0	3.0	Sometimes	no	2.0	no	2.0	0.0	Frequently	Walking	Overweight_Level_I
4	Male	22	1.78	89.8	no	no	2.0	1.0	Sometimes	no	2.0	no	0.0	0.0	Sometimes	Public_Transportation	Overweight_Level_II
5	Male	29	1.62	53.0	no	yes	2.0	3.0	Sometimes	no	2.0	no	0.0	0.0	Sometimes	Automobile	Normal_Weight
6	Female	23	1.50	55.0	yes	yes	3.0	3.0	Sometimes	no	2.0	no	1.0	0.0	Sometimes	Motorbike	Normal_Weight
7	Male	22	1.64	53.0	no	no	2.0	3.0	Sometimes	no	2.0	no	3.0	0.0	Sometimes	Public_Transportation	Normal_Weight
8	Male	24	1.78	64.0	yes	yes	3.0	3.0	Sometimes	no	2.0	no	1.0	1.0	Frequently	Public_Transportation	Normal_Weight
9	Male	22	1.72	68.0	yes	yes	2.0	3.0	Sometimes	no	2.0	no	1.0	1.0	no	Public_Transportation	Normal_Weight

	Gender	Age	Height	Weight	family_history_with_overweight	FAVC	FCVC	NCP	CAEC	SMOKE	CH2O	SCC	FAF	TUE	CALC	MTRANS	NObeyesdad
2101	Female	26	1.63	107.22	yes	yes	3.0	3.0	Sometimes	no	2.49	no	0.07	0.456	Sometimes	Public_Transportation	Obesity_Type_III
2102	Female	26	1.63	108.11	yes	yes	3.0	3.0	Sometimes	no	2.32	no	0.05	0.413	Sometimes	Public_Transportation	Obesity_Type_III
2103	Female	21	1.72	133.03	yes	yes	3.0	3.0	Sometimes	no	1.65	no	1.54	0.912	Sometimes	Public_Transportation	Obesity_Type_III
2104	Female	22	1.73	133.04	yes	yes	3.0	3.0	Sometimes	no	1.61	no	1.51	0.931	Sometimes	Public_Transportation	Obesity_Type_III
2105	Female	21	1.73	131.34	yes	yes	3.0	3.0	Sometimes	no	1.80	no	1.73	0.898	Sometimes	Public_Transportation	Obesity_Type_III
2106	Female	21	1.71	131.41	yes	yes	3.0	3.0	Sometimes	no	1.73	no	1.68	0.906	Sometimes	Public_Transportation	Obesity_Type_III
2107	Female	22	1.75	133.74	yes	yes	3.0	3.0	Sometimes	no	2.01	no	1.34	0.599	Sometimes	Public_Transportation	Obesity_Type_III
2108	Female	23	1.75	133.69	yes	yes	3.0	3.0	Sometimes	no	2.05	no	1.41	0.646	Sometimes	Public_Transportation	Obesity_Type_III
2109	Female	24	1.74	133.35	yes	yes	3.0	3.0	Sometimes	no	2.85	no	1.14	0.586	Sometimes	Public_Transportation	Obesity_Type_III
2110	Female	24	1.74	133.47	yes	yes	3.0	3.0	Sometimes	no	2.86	no	1.03	0.714	Sometimes	Public_Transportation	Obesity_Type_III

Most frequently occurring

	Gender	Age	Height	Weight	family_history_with_overweight	FAVC	FCVC	NCP	CAEC	SMOKE	CH2O	SCC	FAF	TUE	CALC	MTRANS	NObeyesdad	# duplicates
7	Male	21	1.62	70.0	no	yes	2.0	1.0	no	no	3.0	no	1.0	0.0	Sometimes	Public_Transportation	Overweight_Level_I	15
3	Female	21	1.52	42.0	no	yes	3.0	1.0	Frequently	no	1.0	no	0.0	0.0	Sometimes	Public_Transportation	Insufficient_Weight	4
0	Female	16	1.66	58.0	no	no	2.0	1.0	Sometimes	no	1.0	no	0.0	1.0	no	Walking	Normal_Weight	2
1	Female	18	1.62	55.0	yes	yes	2.0	3.0	Frequently	no	1.0	no	1.0	1.0	no	Public_Transportation	Normal_Weight	2
2	Female	21	1.52	42.0	no	no	3.0	1.0	Frequently	no	1.0	no	0.0	0.0	Sometimes	Public_Transportation	Insufficient_Weight	2
4	Female	22	1.69	65.0	yes	yes	2.0	3.0	Sometimes	no	2.0	no	1.0	1.0	Sometimes	Public_Transportation	Normal_Weight	2
5	Female	25	1.57	55.0	no	yes	2.0	1.0	Sometimes	no	2.0	no	2.0	0.0	Sometimes	Public_Transportation	Normal_Weight	2
6	Male	18	1.72	53.0	yes	yes	2.0	3.0	Sometimes	no	2.0	no	0.0	2.0	Sometimes	Public_Transportation	Insufficient_Weight	2
8	Male	22	1.74	75.0	yes	yes	3.0	3.0	Frequently	no	1.0	no	1.0	0.0	no	Automobile	Normal_Weight	2

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Interactions

Correlations

Missing values

Sample

Duplicate rows

Most frequently occurring